Understand business challenges and transform them into advanced analytics / machine learning / data mining problems; use your analytics toolbox to effectively solve them
Build, assess, and iteratively improve predictive models using best-in-class machine learning methods and best practices
Gather and manipulate large volumes of data; create new and improved techniques and / or solutions for data collection, management, and usage
Communicate results in a comprehensible manner to all levels of the company (field teams up to Snr. Management)
Take ownership for important data products, understanding the business partners, prioritizing work, assessing their effectiveness and performance
Develop a deep understanding of the sales organization, their daily challenges, and what data can help them optimize their time
Understand the industry, the market, supply and demand economics, and the company’s value proposition for both travelers and suppliers
Illustrate key business trends through effective data interpretation and visualization
Establish and maintain accurate and robust senior management reporting
Fulfill ad-hoc requests for data and analysis
Master’s degree (PhD preferred) in Mathematics, Statistics, Computer Science, Operational Research or similar
Several years of experience in a data science / machine learning / predictive modeling role, preferably in an e-commerce or a technology company
Track record of data science publications (peer-reviewed papers, conference presentations, white papers, etc.) preferred
Experience managing projects with business partners based in multiple countries and time-zones preferred
Hands-on analytics experience, with validated ability to extract and combine data from multiple sources (SQL databases, Teradata, Hadoop, AWS etc.
converting raw data into actionable insights and / or reports
Expertise with a statistical modelling tool such as R or Python (pandas)
Track record of contributions to open-source projects related to data science preferred
Applied experience in, and excellent understanding of, building machine learning / AI models in production environments to support essential business processes
Proficiency with C++, Scala, Rust, or other high-level programming language
Familiarity with software engineering methodologies, including version control, release management, unit testing etc.
Knowledge of data visualization tools (Tableau, Power BI etc.) preferred
Business sense and Communication
Top-class business acumen, analytical rigor, problem-solving mind-set, and attention to detail
High level of intellectual curiosity and focus on generating action-oriented business insights
Validated ability to handle the needs of a data product’s partners, and to effectively communicate with them
Proven track record of working with cross-functional teams
Excellent understanding of how to effectively visualize highly complex data
Strong written and oral communication skills
Why join us
Expedia Group recognizes our success is dependent on the success of our people. We are the world's travel platform, made up of the most knowledgeable, passionate, and creative people in our business.
Our brands recognize the power of travel to break down barriers and make people's lives better that responsibility inspires us to be the place where exceptional people want to do their best work, and to provide them to tools to do so.
Whether you're applying to work in engineering or customer support, marketing or lodging supply, at Expedia Group we act as one team, working towards a common goal;
to bring the world within reach. We relentlessly strive for better, but not at the cost of the customer. We act with humility and optimism, respecting ideas big and small.
We value diversity and voices of all volumes. We are a global organization but keep our feet on the ground, so we can act fast and stay simple.
Our teams also have the chance to give back on a local level and make a difference through our corporate social responsibility program, Expedia Cares.
If you have a hunger to make a difference with one of the most loved consumer brands in the world and to work in the dynamic travel industry, this is the job for you.
Our family of travel brands includes : Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Egencia®, trivago®, HomeAway®, Orbitz®, Travelocity®, Wotif®, lastminute.
com.au®, ebookers®, CheapTickets®, Hotwire®, Classic Vacations®, Expedia® Media Solutions, CarRentals.com™, Expedia Local Expert®, Expedia® CruiseShipCenters®, SilverRail Technologies, Inc., ALICE and Traveldoo®.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.